61 citations · 304 across the 31 of their papers we have counts for
31 papers
Slot-VAE: Object-Centric Scene Generation with Slot Attention
Yanbo Wang, Letao Liu, Justin Dauwels
Slot attention has shown remarkable object-centric representation learning performance in computer vision tasks without requiring any supervision. Despite its object-centric bindin…
MERLIon CCS Challenge Evaluation Plan
Leibny Paola Garcia Perera, Y. H. Victoria Chua, Hexin Liu +5
This paper introduces the inaugural Multilingual Everyday Recordings- Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge, focused on developing…
Investigating model performance in language identification: beyond simple error statistics
Suzy J. Styles, Victoria Y. H. Chua, Fei Ting Woon +5
Language development experts need tools that can automatically identify languages from fluent, conversational speech, and provide reliable estimates of usage rates at the level of…
MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization
Victoria Y. H. Chua, Hexin Liu, Leibny Paola Garcia Perera +7
To enhance the reliability and robustness of language identification (LID) and language diarization (LD) systems for heterogeneous populations and scenarios, there is a need for sp…
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors
Cristian Meo, Anirudh Goyal, Justin Dauwels
Uncovering data generative factors is the ultimate goal of disentanglement learning. Although many works proposed disentangling generative models able to uncover the underlying gen…
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles
Andrea Piazzoni, Jim Cherian, Justin Dauwels +1
Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One par…